W. Ronny Huang

According to our database, W. Ronny Huang authored at least 31 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study.

W. Ronny Huang, Cyril Allauzen, Tongzhou Chen, Kilol Gupta, Ke Hu, James Qin, Yu Zhang, Yongqiang Wang, Shuo-Yiin Chang, Tara N. Sainath

CoRR, 2024

2023

Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR.

W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath

CoRR, 2023

A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale.

Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath

Proceedings of the IEEE International Conference on Acoustics, 2023

E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model.

W. Ronny Huang, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, David Rybach, Robert David, Rohit Prabhavalkar, Cyril Allauzen, Cal Peyser, Trevor D. Strohman

Proceedings of the IEEE International Conference on Acoustics, 2023

Large-Scale Language Model Rescoring on Long-Form Data.

Tongzhou Chen, Cyril Allauzen, Yinghui Huang, Daniel S. Park, David Rybach, W. Ronny Huang, Rodrigo Cabrera, Kartik Audhkhasi, Bhuvana Ramabhadran, Pedro J. Moreno, Michael Riley

Proceedings of the IEEE International Conference on Acoustics, 2023

Audio-Adapterfusion: A Task-Id-Free Approach for Efficient and Non-Destructive Multi-Task Speech Recognition.

Hillary Ngai, Rohan Agrawal, Neeraj Gaur, W. Ronny Huang, Parisa Haghani, Pedro Moreno Mengibar

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

Dual Learning for Large Vocabulary On-Device ASR.

Cal Peyser, W. Ronny Huang, Tara N. Sainath, Rohit Prabhavalkar, Michael Picheny, Kyunghyun Cho

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Modular Hybrid Autoregressive Transducer.

Zhong Meng, Tongzhou Chen, Rohit Prabhavalkar, Yu Zhang, Gary Wang, Kartik Audhkhasi, Jesse Emond, Trevor Strohman, Bhuvana Ramabhadran, W. Ronny Huang, Ehsan Variani, Yinghui Huang, Pedro J. Moreno

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Improving Rare Word Recognition with LM-aware MWER Training.

Weiran Wang, Tongzhou Chen, Tara N. Sainath, Ehsan Variani, Rohit Prabhavalkar, W. Ronny Huang, Bhuvana Ramabhadran, Neeraj Gaur, Sepand Mavandadi, Cal Peyser, Trevor Strohman, Yanzhang He, David Rybach

Proceedings of the Interspeech 2022, 2022

Towards Disentangled Speech Representations.

Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho

Proceedings of the Interspeech 2022, 2022

Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition.

W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor D. Strohman, Shankar Kumar

Proceedings of the Interspeech 2022, 2022

Detecting Unintended Memorization in Language-Model-Fused ASR.

W. Ronny Huang, Steve Chien, Om Dipakbhai Thakkar, Rajiv Mathews

Proceedings of the Interspeech 2022, 2022

E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR.

W. Ronny Huang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Rohit Prabhavalkar, Cal Peyser, Zhiyun Lu, Cyril Allauzen

Proceedings of the Interspeech 2022, 2022

Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model.

Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews

Proceedings of the IEEE International Conference on Acoustics, 2022

Improving The Latency And Quality Of Cascaded Encoders.

Tara N. Sainath, Yanzhang He, Arun Narayanan, Rami Botros, Weiran Wang, David Qiu, Chung-Cheng Chiu, Rohit Prabhavalkar, Alexander Gruenstein, Anmol Gulati, Bo Li, David Rybach, Emmanuel Guzman, Ian McGraw, James Qin, Krzysztof Choromanski, Qiao Liang, Robert David, Ruoming Pang, Shuo-Yiin Chang, Trevor Strohman, W. Ronny Huang, Wei Han, Yonghui Wu, Yu Zhang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Scaling End-to-End Models for Large-Scale Multilingual ASR.

Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma

CoRR, 2021

GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training.

Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Lookup-Table Recurrent Language Models for Long Tail Speech Recognition.

W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching.

Jonas Geiping, Liam H. Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein

Proceedings of the 9th International Conference on Learning Representations, 2021

Scaling End-to-End Models for Large-Scale Multilingual ASR.

Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma, Junwen Bai

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images.

Yike Qi, W. Ronny Huang, Qianqian Li, Jonathan L. DeGange

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

MetaPoison: Practical General-purpose Clean-label Data Poisoning.

W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent.

Karthik Abinav Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein

Proceedings of the 37th International Conference on Machine Learning, 2020

Understanding Generalization Through Visualizations.

W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, Justin K. Terry, Furong Huang, Tom Goldstein

Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

Deep k-NN Defense Against Clean-Label Data Poisoning Attacks.

Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Strong Baseline Defenses Against Clean-Label Poisoning Attacks.

Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson

CoRR, 2019

Transferable Clean-Label Poisoning Attacks on Deep Neural Nets.

Chen Zhu, W. Ronny Huang, Ali Shafahi, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein

CoRR, 2019

Transferable Clean-Label Poisoning Attacks on Deep Neural Nets.

Chen Zhu, W. Ronny Huang, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein

Proceedings of the 36th International Conference on Machine Learning, 2019

Are adversarial examples inevitable?

Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Accurate, Data-Efficient Learning from Noisy, Choice-Based Labels for Inherent Risk Scoring.

W. Ronny Huang, Miguel A. Perez

CoRR, 2018

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks.

Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018